import copy import json import logging from typing import Optional from jinja2 import Environment, StrictUndefined from pr_agent.algo.ai_handler import AiHandler from pr_agent.algo.pr_processing import get_pr_diff from pr_agent.algo.token_handler import TokenHandler from pr_agent.algo.utils import convert_to_markdown from pr_agent.config_loader import settings from pr_agent.git_providers import get_git_provider class PRReviewer: def __init__(self, pr_url: str, installation_id: Optional[int] = None): self.git_provider = get_git_provider()(pr_url, installation_id) self.main_language = self.git_provider.get_main_pr_language() self.installation_id = installation_id self.ai_handler = AiHandler() self.patches_diff = None self.prediction = None self.vars = { "title": self.git_provider.pr.title, "branch": self.git_provider.get_pr_branch(), "description": self.git_provider.pr.body, "language": self.git_provider.get_main_pr_language(), "diff": "", # empty diff for initial calculation "require_tests": settings.pr_reviewer.require_tests_review, "require_security": settings.pr_reviewer.require_security_review, "require_minimal_and_focused": settings.pr_reviewer.require_minimal_and_focused_review, 'extended_code_suggestions': settings.pr_reviewer.extended_code_suggestions, 'num_code_suggestions': settings.pr_reviewer.num_code_suggestions, } self.token_handler = TokenHandler(self.git_provider.pr, self.vars, settings.pr_review_prompt.system, settings.pr_review_prompt.user) async def review(self): logging.info('Reviewing PR...') if settings.config.publish_review: self.git_provider.publish_comment("Preparing review...", is_temporary=True) logging.info('Getting PR diff...') self.patches_diff = get_pr_diff(self.git_provider, self.token_handler) logging.info('Getting AI prediction...') self.prediction = await self._get_prediction() logging.info('Preparing PR review...') pr_comment = self._prepare_pr_review() if settings.config.publish_review: logging.info('Pushing PR review...') self.git_provider.publish_comment(pr_comment) self.git_provider.remove_initial_comment() return "" async def _get_prediction(self): variables = copy.deepcopy(self.vars) variables["diff"] = self.patches_diff # update diff environment = Environment(undefined=StrictUndefined) system_prompt = environment.from_string(settings.pr_review_prompt.system).render(variables) user_prompt = environment.from_string(settings.pr_review_prompt.user).render(variables) if settings.config.verbosity_level >= 2: logging.info(f"\nSystem prompt:\n{system_prompt}") logging.info(f"\nUser prompt:\n{user_prompt}") model = settings.config.model response, finish_reason = await self.ai_handler.chat_completion(model=model, temperature=0.2, system=system_prompt, user=user_prompt) try: json.loads(response) except json.decoder.JSONDecodeError: logging.warning("Could not decode JSON") response = {} return response def _prepare_pr_review(self) -> str: review = self.prediction.strip() try: data = json.loads(review) except json.decoder.JSONDecodeError: logging.error("Unable to decode JSON response from AI") data = {} markdown_text = convert_to_markdown(data) markdown_text += "\nAdd a comment that says 'Please review' to ask for a new review after you update the PR.\n" markdown_text += "Add a comment that says 'Please answer ' to ask a question about this PR.\n" if settings.config.verbosity_level >= 2: logging.info(f"Markdown response:\n{markdown_text}") return markdown_text